A loss function is a mathematical formula used to measure how well a machine learning model performs by quantifying the difference between predicted values and actual values. It helps in guiding the optimization process by providing feedback on how to adjust the model's parameters to minimize errors. The choice of loss function can significantly affect the performance and effectiveness of algorithms, particularly in optimization techniques and various applications in data analysis.
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